{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 图形绘制\n",
    ">图形可视化是非常强大的工具"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "[Hans Rosling](https://en.wikipedia.org/wiki/Hans_Rosling)的[例子](https://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen)\n",
    "![hans](http://bazhou.blob.core.windows.net/learning/mpp/hans_rosling.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<video width=\"80%\" controls src=\"http://bazhou.blob.core.windows.net/learning/mpp/1193_The_best_stats_you_ve_ever_seen_-_Hans_Rosling-usdJgEwMinM.mp4\" />\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Matplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"last_expr\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt  \n",
    "year = [1950, 1970, 1990, 2010]      # 世界人口数据\n",
    "pop = [2.519, 3.692, 5.263, 6.972] \n",
    "plt.plot(year, pop)                  # 折线图\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(year, pop)               # 散点图\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(year, pop)\n",
    "plt.xlabel(\"year\")                # 不能使用Unicode, \"年\"\n",
    "plt.ylabel(\"population\")          # 坐标轴标注\n",
    "plt.title(\"world population\")     # 标题\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(year, pop)\n",
    "plt.xlabel(\"year\")\n",
    "plt.ylabel(\"population\")\n",
    "plt.title(\"world population\")\n",
    "plt.yticks([0,2,4,6,8,10],\n",
    "    [\"0\",\"2B\",\"4B\",\"6B\",\"8B\",\"10B\"])        # 坐标轴刻度\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(year, pop)\n",
    "plt.fill_between(year,pop,0,color='lightblue') # 填充色\n",
    "plt.xlabel(\"year\")\n",
    "plt.ylabel(\"population\")\n",
    "plt.title(\"world population\")\n",
    "plt.yticks([0,2,4,6,8,10],\n",
    "    [\"0\",\"2B\",\"4B\",\"6B\",\"8B\",\"10B\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 直方图\n",
    "\n",
    "- 数据分布的可视化\n",
    "- 数据分布\n",
    "\n",
    "![分布](http://bazhou.blob.core.windows.net/learning/mpp/distribution.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "> [直方图](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.hist.html?highlight=hist#matplotlib.pyplot.hist)文档\n",
    "![histlink](http://bazhou.blob.core.windows.net/learning/mpp/histlink.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![histdoc](http://bazhou.blob.core.windows.net/learning/mpp/hist.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "values = [0,0.6,1.4,1.6,2.2,2.5,2.6,3.2,3.5,3.9,4.2,6] \n",
    "plt.hist(values, bins=4)                                    # 分布区间数目\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(shmale_bmi, bins=20)     # 几乎是一个钟形曲线\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  },
  "livereveal": {
   "scroll": true
  },
  "rise": {
   "enable_chalkboard": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
